JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
TY - CONF AU - Fomin, Ye. ED - Kuzin, Maksim V. ED - Schaa, Volker RW TI - Machine Learning for the Storage Ring Optimization J2 - Proc. of RuPAC2021, Alushta, Crimea, 27 September-01 October 2021 CY - Alushta, Crimea T2 - Russian Particle Accelerator Conference T3 - 27 LA - english AB - The design and optimization of new lattice for modern synchrotron radiation sources are for the most part an art and highly dependent on the researcher skills. Since both modern existing and designing storage rings is very complex nonlinear system the researchers spend a lot of effort to solve their problems. In this work the use of machine learning technics to improve the efficiency of solving nonlinear systems optimization problems is considered. PB - JACoW Publishing CP - Geneva, Switzerland SP - 169 EP - 171 KW - synchrotron KW - ion-source KW - radiation KW - synchrotron-radiation KW - emittance DA - 2021/10 PY - 2021 SN - 2673-5539 SN - 978-3-95450-240-0 DO - doi:10.18429/JACoW-RuPAC2021-MOPSA23 UR - https://jacow.org/rupac2021/papers/mopsa23.pdf ER -